• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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• pp.775-779
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• 2002

Currently, high-resolution satellite imagery such as KOMPSAT and IKONOS has been tentatively utilized to various types of urban engineering problems such as transportation planning, site planning, and utility management. This approach aims at software development and followed applications of remotely sensed imagery to transportation geographic analysis. At first, GDPA (Gradient Direction Profile Algorithm) and main modules in it are overviewed, and newly implemented results under MS visual programming environment are presented with main user interface, input imagery processing, and internal processing steps. Using this software, road network are automatically generated. Furthermore, this road network is used to transportation geographic analysis such as gamma index and road pattern estimation. While, this result, being produced to do-facto format of ESRI-shapefile, is used to several types of road layers to urban/transportation planning problems. In this study, road network using KOMPSAT EOC imagery and IKONOS imagery are directly compared to multiple road layers with NGI digital map with geo-coordinates, as ground truth; furthermore, accuracy evaluation is also carried out through method of computation of commission and omission error at some target area. Conclusively, the results processed in this study is thought to be one of useful cases for further researches and local government application regarding transportation geographic analysis using remotely sensed data sets.

• 한국측량학회:학술대회논문집
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• 한국측량학회 2004년도 춘계학술발표회논문집
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• pp.267-273
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• 2004

The advantage of the remote sensing is extraction the information of wide area rapidly. Such advantage is the resource and environment are quick and efficient method to grasps accurately method through the land cover classification of wide area. Accordingly this study is used to the high-resolution (6.6m) Electro-Optical Camera (EOC) panchromatic image of the first Korea Multi-Purpose Satellite 1 (KOMPSAT-1) and the multi-spectral Moderate Resolution Imaging Spectroradiometer (MODIS) image data(36 bands).We accomplished FCM classification technique with MLC technique to be general land cover classification method in the content of research. And evaluated the accuracy assessment of two classification method.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2005년도 Proceedings of ISRS 2005
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• pp.257-259
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• 2005

A crop management system was developed using Visual Basic and ArcGIS VBA. The system is operated on ArcGlS 8.3 with Microsoft Access MOB. Landsat +ETM, KOMPSAT-l EOC, ASTER VNIR and IKONOS panchromatic (pan) and multi-spectral (MIS) images were included in the system to understand what kind of agriculture-related information can be extracted for each images. Agriculture related data inventories using crop cover information such as texture and average pixel value of the crop based on cultivation calendar were designed ,and implemented. Three IKONOS images (May 25,2001, December 25,2001, October 23,2003) were loaded in the system to show crop cover characteristics such as rice, pear, grape, red pepper, garlic, and surface water cover of reservoir with field surveys. GIS layers such as DEM (Digital Elevation Model), stream, road, soil, land use and administration boundary were also supplied and can be overlaid with images to enhance the understanding the general agricultural characteristics and identifying the location easily.

• 대한원격탐사학회:학술대회논문집
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• 대한원격탐사학회 2001년도 춘계 학술대회 논문집 통권 4호 Proceedings of the 2001 KSRS Spring Meeting
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• pp.15-18
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• 2001

아리랑 1호 위성은 EOC 센서를 이용하여 지도제작에 활용될 수 있는 고해상도의 입체영상을 제공하는 기능을 포함하고 있다. 그러나, 기존의 사진측량 도화장비나 대부분의 수치사진측량 시스템에서 아리랑 1호 위성영상을 이용한 도화기능이 제공되고 있지 않으므로, 아리랑 1호 위성영상을 이용한 지도제작은 정사영상에 의한 영상지도 제작으로 국한되어 이루어져 왔다. 본 연구에서는 상용 수치사진측량 시스템 상에서 아리랑 1호의 입체위성영상을 DLT 모델에 적용하여 입체표정을 수행한 후에 도화작업을 시범적으로 실시하였다. 또한 그 결과를 분석함으로써 아리랑 1호 입체영상에 의한 도화원도 제작의 범위와 타당성을 분석하였다.

• 한국농공학회논문집
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• 제46권7호
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• pp.15-21
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• 2004

This study is to present a standardized agricultural land use classification scheme at various spatial resolution (from 1 m to 30 m) of satellite images including Landsat TM, KOMPSAT-1 EOC, ASTER VNIR and IKONOS panchromatic (PAN) and multi-spectral (MS) images. The satellite images were interpreted especially for identifying agricultural land use, crop types, agricultural facilities and structures of 18 items. It was found that there is a threshold spatial resolution between 4 m and 6.6 m to identify the full items. Thus it is suggested that IKONOS fusion image (MS enhanced by PAN) is required to produce land use map for agricultural purpose.

• 한국GIS학회:학술대회논문집
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• 한국GIS학회 2004년도 GIS/RS 공동 춘계학술대회 논문집
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• pp.279-285
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• 2004

도시라는 광역지역의 확장을 분석하는데 위성자료는 매우 유용한 정보를 제공한다. 특히 한국항공우주연구원에서 운용중인 다목적 실용위성(KOMPSAT) 1호 영상자료는 해상도가 높아 도시지역의 분석에 유용한 정보를 제공하고 있으며, 과거의 항공사진 등을 복합적으로 활용한다면 도시의 확장 과정에 대한 시계열 분석이 가능하다. 도시의 확장 과정을 분석하여 그 정보를 추출하는 것은 새로운 도시계획을 위한 필수적인 기본 자료를 구축하는 중요한 역할을 할 수 있으며, 특히 2003년 개정 시행중인 국토의 계획 및 이용에 관한 법률은 도시기본계획 수립에 있어 도시의 성장 경향 등에 관한 기초조사를 의무화한 토지적성평가 제도를 도입하고 있다. 본 연구에서는 다목적 실용위성 1호 EOC 영상과 기타 원격탐사 자료를 복합적으로 활용하여 대전광역시 도시화 지역의 확장 추이를 분석하고 그 경향과 특성을 도출해 도시계획 수립에 원격탐사 자료를 활용할 수 있는 가능성을 제시해 보고자 한다.

• 대한원격탐사학회지
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• 제18권3호
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• pp.163-169
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• 2002

The land uses of Korean peninsula are very complicated and high-density. Therefore, the image classification using coarse resolution satellite images may not provide good results for the land cover classification. The purpose of this paper is to compare the classification accuracy of visual interpretation with that of digital image classification of satellite remote sensing data such as 20m SPOT and 30m TM. In this study, hybrid classification was used. Classification accuracy was assessed by comparing each classification result with reference data obtained from KOMPSAT-1 EOC imagery, air photos, and field surveys.

• 대한원격탐사학회지
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• 제20권5호
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• pp.329-335
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• 2004

Biotop map can be utilized for nature conservation and assessment of environmental impact for human activities in urban area. High resolution satellite images such as IKONOS and KOMPSAT1-EOC were interpreted to classify land use, hydrology, impermeable pavement ratio and vegetation for biotop mapping. Wildlife habitat map and detailed vegetation map obtained from former study results were used as ground truth data. Vegetation was investigated directly for the area where the detailed vegetation map is not available. All these maps were combined and the boundaries were delineated to produce the biotop map. Within the boundary, the characteristics of each polygon were identified, and named. This study investigates the possibility of biotop mapping using high resolution satellite remote sensing data together with field data with the goal of contributing to nature conservation in urban area.

• 대한원격탐사학회지
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• 제21권1호
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• pp.83-89
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• 2005

This study utilized a spatial region growing segmentation and a classification using fuzzy membership vectors to detect the changes in the images observed at different dates. Consider two co-registered images of the same scene, and one image is supposed to have the class map of the scene at the observation time. The method performs the unsupervised segmentation and the fuzzy classification for the other image, and then detects the changes in the scene by examining the changes in the fuzzy membership vectors of the segmented regions in the classification procedure. The algorithm was evaluated with simulated images and then applied to a real scene of the Korean Peninsula using the KOMPSAT-l EOC images. In the expertments, the proposed method showed a great performance for detecting changes in land-cover.

• 대한원격탐사학회지
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• 제12권1호
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• pp.81-88
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• 1996

이 논문에서는 대기 굴절이 다목적 실용 위성 영상과 같은 고해상도 영상의 기하학적 성 질에 미치는 영향이 연구되었다. 대기 굴절 모델이 유도 되었고, 기준 대기 모델을 사용하여 영상 의 기하학적 오차를 시뮬레이션을 통하여 구하였다. 표준 대기 중에서 최대 약 7m (1 pixel의 크 기)의 오차가 대기 굴절에 의해 발생하며 이상 대기 상에서는 더 큰 오차를 일으킬 수도 있을 것 이다.